A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Paper proposes an anchor-free topic mining framework for better robustness.
Bayesian SVARs improve model construction and policy analysis in big data.
FUSE neural centrality framework improves data point measurement in high dimensions.
Nonparametric Thompson Sampling achieves optimal regret for risk-averse bandits with sub-Gaussian rewards.
AutoAnchor uses cross-attention to improve text-to-image model unlearning.
In the first chapter, we give a precise and general description of gerbes valued in arbitrary crossed module and over an arbitrary differential stack. We do it using only Lie groupoids, hence ordinary differential geometry, by considering differential stacks as being Lie groupoids up to Morita equivalence. We prove the…